Mobile Intelligent Autonomous Systems

ISBN-13: 9781138072459 / Angielski / Miękka / 2017 / 832 str.

Jitendra R. Raol; Ajith K. Gopal

Opis

Going beyond the traditional field of robotics to include other mobile vehicles, this reference and "recipe book" describes important theoretical concepts, techniques, and applications that can be used to build truly mobile intelligent autonomous systems (MIAS). With the infusion of neural networks, fuzzy logic, and genetic algorithm paradigms for MIAS, it blends modeling, sensors, control, estimation, optimization, signal processing, and heuristic methods in MIAS and robotics, and includes examples and applications throughout. Offering a comprehensive view of important topics, it helps readers understand the subject from a system-theoretic and practical point of view.

Spis treści

Introduction. Part I Conceptual Foundations for MIAS: Neuro-Fuzzy–GA–AI Paradigms. Mathematical Models of Robot Motion. Data Fusion in Mobile Intelligent Autonomous Systems. Image Registration and Fusion. Multi-Sensor Image Fusion Using Discrete Cosine Transform. Motion Segmentation Using Spectral Framework. Formation Control in Multi-Agent Systems over Packet Dropping Links. Part II MIAS and Robotics: Robot’s Sensors and Instrumentation. Robot Navigation and Guidance. Robot Path and Motion Planning. Out-of-Sequence Measurements: Missing Data Problem. Robotic Path-Planning in Dynamic and Uncertain Environment Using Genetic Algorithm. Temporal Logic Motion Planning in Robotics. A Constraint Programming Solution for the Military Unit Path Finding Problem. Simultaneous Localization and Mapping for a Mobile Vehicle. Robotic and Moving Vehicle Architectures. Multi-Robot Coordination. Autonomous Mobile Robot with a Biological Brain. Safe and Effective Autonomous Decision Making in Mobile Robots. Partially Integrated Guidance and Control of Unmanned Aerial Vehicles for Reactive Obstacle Avoidance. Impedance-Controlled Mechatronic Systems for Autonomous Intelligent Devices. Hydro-MiNa Robot Technology for Micro- and Nano-Manipulation in Manufacturing of Micro-Products. Part III Allied Technologies for MIAS/Robotics: Real-Time System Identification of an Unstable Vehicle within a Closed Loop. Smart Antennas for Mobile Autonomous Systems: Adaptive Algorithms for Acceleration. Integrated Modelling, Simulation and Controller Design for an Autonomous Quadrotor Micro Air Vehicle. Determination of Impact and Launch Points of a Mobile Vehicle Using Kalman Filter and Smoother. Novel Stability Augmentation System for Micro Air Vehicle: Towards Autonomous Flight. Neuro-Fuzzy Fault-Tolerant Aircraft Autoland Controllers. Reconfiguration in Flight Critical Aerospace Applications. Study of Three Different Philosophies to Automatic Target Recognition: Classical, Bayesian and Neural Networks. Real-Time Implementation of a Novel Fault Detection and Accommodation Algorithm for an Air-Breathing Combustion System. Fuzzy Logic-Based Sensor and Control Surface Fault Detection and Reconfiguration. Target Tracking Using a 2D Radar. Investigating the Use of Bayesian Network and k-NN Models to Develop Behaviours for Autonomous Robots. Modelling Out-of-Sequence Measurements: A Copulas-Based Approach. Appendix A: Statistical and Numerical Concepts. Appendix B: Notes on Software and Algorithms Related to Robotics. Index